Job Title : Marketing Technology Data Modeler
Location : Atlanta, GA
Duration : 12 + months
Job ID : 26-23884
Job Description:
The Marketing Technology Data Modeler is responsible for designing, implementing, and optimizing data models that power marketing analytics, customer insights, and personalized engagement strategies. This role bridges marketing, data engineering, and analytics teams to ensure scalable, high-quality data structures across MarTech platforms such as CDPs, CRM systems, and marketing automation tools.
Key Responsibilities
Data Modeling & Architecture
Design conceptual, logical, and physical data models for marketing platforms and customer data systems (e.g., CDP, CRM, campaign tools)
Build and maintain data schemas supporting customer 360, segmentation, attribution, and personalization
Develop scalable models for structured and semi-structured data (behavioral, transactional, demographic)
MarTech Integration
Collaborate with engineering teams to integrate data across systems such as Snowflake (Enterprise Data Platform), Adobe Experience Cloud, Integrating Channels etc.
Define data flows and mapping between source systems, CDPs, and downstream Marketing activation and enablement apps
Ensure interoperability between marketing platforms and enterprise data ecosystems
Data Governance & Quality
Establish data standards, naming conventions, and metadata management practices
Ensure data consistency, accuracy, and compliance (GDPR, CCPA where applicable)
Partner with data governance teams to maintain data lineage and documentation
Analytics Enablement
Enable advanced analytics use cases such as customer segmentation, campaign performance, attribution modeling, and predictive modeling
Support BI/reporting teams with optimized datasets and semantic layers
Collaborate with data scientists on feature engineering and model readiness
Stakeholder Collaboration
Work closely with marketing, product, analytics, and engineering stakeholders to translate business requirements into data models
Communicate technical concepts clearly to non-technical stakeholders
Support agile delivery and continuous improvement efforts
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field
6+ years of experience in data modeling, data architecture, or analytics engineering
Strong expertise in:
Data modeling techniques (dimensional modeling, star/snowflake schemas, Data Vault)
SQL and database technologies (e.g., Snowflake, Redshift, Databricks, BigQuerry)
Hands-on experience with MarTech platforms (Adobe, Salesforce, Segment, etc.)
Experience working with large-scale datasets and cloud-based data platforms
Understanding of marketing data concepts (customer journeys, attribution, segmentation)
Preferred Qualifications
Experience with Customer Data Platforms (CDPs)
Knowledge of real-time data processing (Kafka, streaming pipelines)
Familiarity with data transformation tools (Talend, Matillion, Snow SQL, dbt, Airflow)
Exposure to privacy and consent management frameworks
Experience with APIs and data integration patterns
Certification in cloud platforms (AWS, Azure, or GCP)
Key Skills:
Data modeling & database design
Marketing analytics understanding
Data integration and ETL/ELT
Problem-solving and critical thinking
Communication and stakeholder management